Chemometrics with R: multivariate data analysis in the natural sciences and life sciences

'Chemometrics with R' offers readers an accessible introduction to the world of multivariate statistics in the life sciences, providing a complete description of the general data analysis paradigm, from exploratory analysis to modeling to validation. Several more specific topics from the area of chemometrics are included in a special section. The corresponding R code is provided for allthe examples in the book; scripts, functions and data are available in a separate, publicly available R package. For researchers working in the life sciences, the book can also serve as an easy-to-use primer on R. Easy, non-mathematical approach to multivariate statistics in the life sciences At the same time: not just a cookbook, but a discussion of theory as well All examples in the book fully reproducible, R code given and discussed in text INDICE: Introduction. Part I Preliminaries: Data. Preprocessing. Part II Exploratory Analysis: Principal Component Analysis. Self-Organizing Maps. Clustering. Part III Modelling: Classification. Multivariate Regression. Part IV Model Inspection: Validation. Variable Selection. Part V Applications: Chemometric. Part VI Appendices: R packages Used in This Book. References. Index.

• ISBN: 978-3-642-17840-5
• Editorial: Springer Berlin Heidelberg
• Encuadernacion: Rústica
• Páginas: 285
• Fecha Publicación: 01/01/2011
• Nº Volúmenes: 1
• Idioma: Inglés